Study of Wind Turbine Fault Diagnosis and Early Warning Based on SCADA Data

Study of Wind Turbine Fault Diagnosis and Early Warning Based on SCADA Data

Wind turbine fault diagnosis and early warning are important to reduce wind farm operation and maintenance costs and improve power generation efficiency. In this paper, we take the Supervisory Control and Data Acquisition (SCADA) data as the research object and research wind turbine health data puri...

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Bibliographic Details
Main Authors: Yilong Shi, Yirong Liu, Xiang Gao
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Wind turbine
fault diagnosis
fault warning
XGBoost
SCADA
Online Access:https://ieeexplore.ieee.org/document/9530585/

Internet

https://ieeexplore.ieee.org/document/9530585/

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